TY - GEN
T1 - Online distributed price-based control of DR resources with competitive guarantees
AU - Xu, Siyuan
AU - Yu, Liren
AU - Lin, Xiaojun
AU - Dong, Jin
AU - Xue, Yaosuo
N1 - Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/6/28
Y1 - 2022/6/28
N2 - Demand response (DR) of building HVAC load can provide crucial demand-side flexibility for the future smart grid. Compared to direct load control, price-based control can respect the customers' autonomy and privacy. However, it is challenging for price-based control to attain provable performance guarantees under future uncertainty. In this paper, we propose a framework for a utility to perform price-based control of flexible building load within the utility's service area, in order to attain competitive performance guarantees in terms of controlling the system peak demand under future uncertainty. By adopting a two-step approach, our online price-based control solution can attain a provable competitive ratio for all possible realizations within a given uncertainty set. Simulation experiments demonstrate that, with a robustification procedure, our solution can perform well not only for worst-case inputs, but also for average-case inputs.
AB - Demand response (DR) of building HVAC load can provide crucial demand-side flexibility for the future smart grid. Compared to direct load control, price-based control can respect the customers' autonomy and privacy. However, it is challenging for price-based control to attain provable performance guarantees under future uncertainty. In this paper, we propose a framework for a utility to perform price-based control of flexible building load within the utility's service area, in order to attain competitive performance guarantees in terms of controlling the system peak demand under future uncertainty. By adopting a two-step approach, our online price-based control solution can attain a provable competitive ratio for all possible realizations within a given uncertainty set. Simulation experiments demonstrate that, with a robustification procedure, our solution can perform well not only for worst-case inputs, but also for average-case inputs.
KW - Competitive online algorithm
KW - Demand response
KW - Peak demand
KW - Price-based control
UR - http://www.scopus.com/inward/record.url?scp=85133948961&partnerID=8YFLogxK
U2 - 10.1145/3538637.3538836
DO - 10.1145/3538637.3538836
M3 - Conference contribution
AN - SCOPUS:85133948961
T3 - e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems
SP - 17
EP - 33
BT - e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems
PB - Association for Computing Machinery, Inc
T2 - 13th ACM International Conference on Future Energy Systems, e-Energy 2022
Y2 - 28 June 2022 through 1 July 2022
ER -